Knowing What's Missing: Assessing Information Sufficiency in Question Answering

This article focuses on a crucial aspect of question answering systems: determining if the provided information is sufficient to answer a question. This is a key challenge for LLMs, as they often generate confident but incorrect answers due to insufficient context. The research likely explores methods to identify information gaps and improve the reliability of these systems.